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Archive for the ‘information science’ category: Page 144

Feb 22, 2021

Kazuo Ishiguro: ‘AI, gene-editing, big data … I worry we are not in control of these things any more’

Posted by in categories: genetics, information science, robotics/AI

😃


The Nobel-winning author talks about scaring Harold Pinter, life after death – and his new novel about an ‘artificial friend’

Continue reading “Kazuo Ishiguro: ‘AI, gene-editing, big data … I worry we are not in control of these things any more’” »

Feb 20, 2021

Qudits and High-Dimensional Quantum Computing

Posted by in categories: computing, information science, quantum physics

10 November 2020


Qudit is a multi-level computational unit alternative to the conventional 2-level qubit. Compared to qubit, qudit provides a larger state space to store and process information, and thus can provide reduction of the circuit complexity, simplification of the experimental setup and enhancement of the algorithm efficiency. This review provides an overview of qudit-based quantum computing covering a variety of topics ranging from circuit building, algorithm design, to experimental methods. We first discuss the qudit gate universality and a variety of qudit gates including the pi/8 gate, the SWAP gate, and the multi-level controlled-gate. We then present the qudit version of several representative quantum algorithms including the Deutsch-Jozsa algorithm, the quantum Fourier transform, and the phase estimation algorithm.

Feb 19, 2021

Art Installation Helps Plants Grow

Posted by in categories: food, information science

This art installation enhances plant growth while taking pesticides out of the equation through ultraviolet light. The GROW project shines vertical lights across 215000 square feet of farmland creating a luminous dreamscape that highlights the beauty of agriculture, and displays nature as the ultimate work of art it is!

📹 @roosegaarde via IG.

Feb 18, 2021

Artificial Neural Nets Finally Yield Clues to How Brains Learn

Posted by in categories: biological, information science, robotics/AI

The learning algorithm that enables the runaway success of deep neural networks doesn’t work in biological brains, but researchers are finding alternatives that could.

Feb 15, 2021

New AI Detects Your Emotions

Posted by in categories: information science, robotics/AI

The algorithm isn’t perfect, but it vastly outperforms past attempts.

Feb 13, 2021

New machine learning theory raises questions about nature of science

Posted by in categories: information science, robotics/AI, science, space

A novel computer algorithm, or set of rules, that accurately predicts the orbits of planets in the solar system could be adapted to better predict and control the behavior of the plasma that fuels fusion facilities designed to harvest on Earth the fusion energy that powers the sun and stars.

Feb 13, 2021

David Sinclair and Bracken Darrell take the stage on aging and life extension (Feb 2021)

Posted by in categories: business, information science, life extension, robotics/AI

Excellent hand and hand conversation between David Sinclair and Bracken Darrell. David is an expert in longevity and life extension, and Bracken is an experienced successful businessman, CEO of multinational Logitech.

The encounter took place on February 92021, during an online scientific symposium organized by the American Federation of Aging Research (AFAR).

Continue reading “David Sinclair and Bracken Darrell take the stage on aging and life extension (Feb 2021)” »

Feb 13, 2021

Social media must not be allowed to destroy democracy, says the EU President

Posted by in categories: government, information science, law

All governments across the globe are the same they don’t want a free flow of information that would challenge their authority and decisions that they think are good for us, maybe because they want to maintain law and order in society.

I am against the control of social media by the government and I am also against the algorithms which are designed to make people addicted to social media by showing the thing that appeals most to them for profit.

What are your opinions on this topic, how we can achieve the balance between these challenging aspects of social media use?

Continue reading “Social media must not be allowed to destroy democracy, says the EU President” »

Feb 12, 2021

New Machine Learning Theory Raises Questions About the Very Nature of Science

Posted by in categories: information science, physics, robotics/AI, science, space

A novel computer algorithm, or set of rules, that accurately predicts the orbits of planets in the solar system could be adapted to better predict and control the behavior of the plasma that fuels fusion facilities designed to harvest on Earth the fusion energy that powers the sun and stars.

The algorithm, devised by a scientist at the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL), applies machine learning, the form of artificial intelligence (AI) that learns from experience, to develop the predictions. “Usually in physics, you make observations, create a theory based on those observations, and then use that theory to predict new observations,” said PPPL physicist Hong Qin, author of a paper detailing the concept in Scientific Reports. “What I’m doing is replacing this process with a type of black box that can produce accurate predictions without using a traditional theory or law.”

Qin (pronounced Chin) created a computer program into which he fed data from past observations of the orbits of Mercury, Venus, Earth, Mars, Jupiter, and the dwarf planet Ceres. This program, along with an additional program known as a “serving algorithm,” then made accurate predictions of the orbits of other planets in the solar system without using Newton’s laws of motion and gravitation. “Essentially, I bypassed all the fundamental ingredients of physics. I go directly from data to data,” Qin said. “There is no law of physics in the middle.”

Feb 12, 2021

Q-CTRL’s new AI toolset allows quantum computers to self-optimize

Posted by in categories: information science, quantum physics, robotics/AI

The toolset runs with Q-CTRL’s flagship BOULDER OPAL software for developers and R&D teams, automated closed-loop hardware optimization is also trained to obtain new experimental data/results from quantum computers while simultaneously running optimizations for algorithms. It can be used as a standalone tool or in tandem with a machine-learner online optimization package (M-LOOP) that manages quantum experiments autonomously.